Everything Cloud: for better flexibility
and cost-effectiveness
The situation from stakeholders’ perspective might look like this:
- The initial cloud-based project has yielded limited value. Only if you make a convincing business case, then you’ll be able to extend the use of the cloud platform
- Cloud initiatives get stuck in lengthy queues.
- There’s no value in “lift and shift”, as it has not effectively reduced costs or improved flexibility. What we’re getting out of this?
- Tech leadership lacks a cohesive vision, which leads to a lack of required guidance and management oversight. Should we continue the cloud initiative?
- It’s an IT (Only) Strategy
The actual situation might look like this:
- We face a skills gap and constantly battle staff turnover
- Our existing platform no longer meets our needs as we struggle to scale and support our business growth
- we've got dependency bottlenecks
- Our current platform infrastructure is proving to be expensive to maintain
- We are facing challenges in establishing a well-defined cloud strategy
- Security and business continuity is a priority
- While we have adopted cloud technology, we did not achieve the expected performance improvements
- Despite transitioning to the cloud, we experience frequent outages due to unexpected spikes in usage.
- We find ourselves spending more time reacting to problems rather than focusing on innovation
- We need to rewrite the application architecture for the cloud efficiently
Our tech stack and capabilities
Snowflake
DataBricks
Spark
Kafka
Fivtran
DBT
Airflow
Talend
Dataiku
Hive
Kubernetes
Python
.Net
Scala
Stitch
Azure Synapse
Microsoft Fabric
Amazon Kinesis
Google Big Query
Jupyter
Pandas
Python
R
Scikitlearn
Tensorflow
KubeFlow
Azure Machine Learning
PyTorch
AirFlow
Presto
Tecton
Keras
NLTK
Data Robot
Fiddler
Power BI
Qlik
Tableau
Dash
DAX
Looker
Sisense
Toughtspot
Tibco
Azure
GCP
AWS
docker
ansible
terraform
Jenkins
bash
kubernetes
powershell
Elastic
Splunk
